Advanced Analysis Techniques

An Introduction....

A little about me

Kit Double

I'm interested in

Metacognition

Self-assessment

Confidence

Goals for this paper

Useful

Fun

Fun

Not fear invoking

Link theory and practice

Some important links

WebLean

www.

Some important links

Software

Peek Slides

Make our first data set

# Make a variable
y <- c(7,5,9,3,2)

# Take a look
print(y)
y

# Make another variable
x <- c(3,6,18,2,5)

# Fix the typo
x <- c(3,6,8,2,5)

# And one more...
id <- 1001:1005

# Mash them together to make a data set
mydata <- cbind(id,x,y) #mashing
mydata <- as.data.frame(mydata) # make it into a 'data frame'
View(mydata)

# Clean up the variables
rm(id,x,y)

# Take a look again
print(y)

# Oh no...

# Take a look at the y variable in the data frame
print(mydata$y)





Open some data

# Read data from computer (MAC)
mydata <- read.csv("~/Desktop/AAT_s1.csv")

# Read data from computer (Windows)
mydata <- read.csv("C://Users/kitd/Desktop/AAT_s1.csv")


Installing our first package

# Install package
install.packages("lme4")

# Load package
library(lme4)

2019 AAT - Lecture 1

By kitdouble

2019 AAT - Lecture 1

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